Contribute to an industrial research project focused on the development and optimization of heat pump systems, combining machine learning, data analysis, modelling, and experimental testing to develop predictive models based on experimental and field data.
Responsibilities
Develop, evaluate, and improve machine learning models using experimental and field data from heat pump systems
Analyse data, model and simulate dynamic systems, and develop numerical approaches to address complex engineering problems
Support the development and optimization of refrigeration cycles and heat pump systems using data-driven and model-based approaches
Apply data-based methods to improve model-based concepts and support the analysis and optimization of constrained linear and nonlinear systems
Define and prepare experimental data acquisition systems, conduct tests, and analyse the resulting data to support model development and engineering decisions
Build products powered by scalable distributed systems and advanced AI solutions to optimize user experiences across grocery and food verticals.
Locations (3)
San Francisco, California, United States
New York City, New York, United States
Seattle, Washington, United States
Compensation
For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Responsibilities
Architecting and launching products to power key consumer experience and business outcomes.
Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
